Can machine learning techniques provide better learning support for elderly people?

Kohei Hatano

doi:10.1007/978-3-319-91131-1_14

Can machine learning techniques provide better learning support for elderly people?

Kohei Hatano

Division for Theoretical Natural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Computer-based support for learning of elderly people is now considered as an important issue in the super-aged society. Extra cares are needed for elderly people’s learning compared to younger people, since they might have difficulty in using computers, reduced cognitive ability and other physical problems which make them less motivated. Key components of a better learning support system are sensing the contexts surrounding elderly people and providing appropriate feedbacks to them. In this paper, we review some existing techniques of the contextual bandit framework in the machine learning literature, which could be potentially useful for online decision making scenarios given contexts. We also discuss issues and challenges to apply the framework.

Original language	English
Title of host publication	Distributed, Ambient and Pervasive Interactions
Subtitle of host publication	Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings
Editors	Shin’ichi Konomi, Norbert Streitz
Publisher	Springer Verlag
Pages	178-187
Number of pages	10
ISBN (Print)	9783319911304
DOIs	https://doi.org/10.1007/978-3-319-91131-1_14
Publication status	Published - 2018
Event	6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 - Las Vegas, United States Duration: Jul 15 2018 → Jul 20 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10922 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018
Country/Territory	United States
City	Las Vegas
Period	7/15/18 → 7/20/18

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-91131-1_14

Cite this

Hatano, K. (2018). Can machine learning techniques provide better learning support for elderly people? In S. Konomi, & N. Streitz (Eds.), Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings (pp. 178-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10922 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-91131-1_14

Can machine learning techniques provide better learning support for elderly people? / Hatano, Kohei.
Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. ed. / Shin’ichi Konomi; Norbert Streitz. Springer Verlag, 2018. p. 178-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10922 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hatano, K 2018, Can machine learning techniques provide better learning support for elderly people? in S Konomi & N Streitz (eds), Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10922 LNCS, Springer Verlag, pp. 178-187, 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018, Las Vegas, United States, 7/15/18. https://doi.org/10.1007/978-3-319-91131-1_14

Hatano K. Can machine learning techniques provide better learning support for elderly people? In Konomi S, Streitz N, editors, Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Springer Verlag. 2018. p. 178-187. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-91131-1_14

Hatano, Kohei. / Can machine learning techniques provide better learning support for elderly people?. Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. editor / Shin’ichi Konomi ; Norbert Streitz. Springer Verlag, 2018. pp. 178-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{7194941ed05c4575be5dbf6f9a594f0c,

title = "Can machine learning techniques provide better learning support for elderly people?",

abstract = "Computer-based support for learning of elderly people is now considered as an important issue in the super-aged society. Extra cares are needed for elderly people{\textquoteright}s learning compared to younger people, since they might have difficulty in using computers, reduced cognitive ability and other physical problems which make them less motivated. Key components of a better learning support system are sensing the contexts surrounding elderly people and providing appropriate feedbacks to them. In this paper, we review some existing techniques of the contextual bandit framework in the machine learning literature, which could be potentially useful for online decision making scenarios given contexts. We also discuss issues and challenges to apply the framework.",

author = "Kohei Hatano",

note = "Funding Information: This work is supported in part by JSPS KAKENHI Grant Num- Funding Information: This work is supported in part by JSPS KAKENHI Grant Number JP16K00305. Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",

year = "2018",

doi = "10.1007/978-3-319-91131-1_14",

language = "English",

isbn = "9783319911304",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "178--187",

editor = "Shin{\textquoteright}ichi Konomi and Norbert Streitz",